Product 02 · Virtual Care · See both products

Virtual Care.
The command center on a unified patient record.

A command center that extends the same live patient model to remote intensivists. One worklist across the entire network. Live device data and full documentation power for every bed at every facility. Built on the same unified clinical record as the Clinician Assistant — so a patient's data moves between bedside and command center without translation, batching, or loss.

1
command center can oversee academic, community, and rural facilities simultaneously
Same
record bedside and remote — no separate stack to maintain
80%*
of serious medical errors involve miscommunication during care transitions
India
network extension to rural sites including AIIMS deployment

* The Joint Commission, Sentinel Event Alert 58: Inadequate Hand-off Communication (2017) — communication failures are associated with up to 80% of serious medical errors.


Real-time clinical intelligence

One record. Bedside and command center.

For Virtual Care to work, the remote intensivist needs to see what the bedside team sees — at the same fidelity, in the same moment. That requires more than a remote view of the EHR. It requires the same unified clinical record that the Clinician Assistant maintains at the bedside, extended to the command center. Every reading and the assessment of it together. One record, not two.

Inputs
Device data
Vitals & hemodynamic measurements Ventilator settings & waveforms Infusion pump rates Labs & diagnostic imaging
Captured continuously
Clinical documentation
Nursing assessments & validations Procedure notes Care plan & orders Handoff entries
Entered by clinicians
The unified clinical record
One related record
Every data point sits with the assessment that contextualizes it — related at the moment of entry, coherent across transfers and across sites.
What the command center sees
Remote view · live
HR 72 bpm
Stable, no intervention
BP 118/76
Within target range
SpO₂ 98%
RA, no O₂ support
Vent — Vt 480 mL
Per ARDSnet protocol
Norepi 0.08 mcg/kg/min
Titrating to MAP >65
Lactate 1.2
Trending down · 14:32
The remote intensivist sees what the bedside team sees. Same record, same moment.

No batching. No translation. No reconciliation between command center notes and the bedside EHR. The bedside team and the command center are working from the same unified record — and the patient's data moves between them in real time.


Bedside to command center

The unified record is the source.
The live patient model is what travels.

A record is what was captured. A model is what's running now. DocBox maintains the unified record as a live patient model — the running representation of the patient that persists across time, travels with the patient through transfers and across connected sites, and supplies the same operational signal to the bedside, the command center, and everything downstream.

Operations
Bed status, acuity, throughput — surfaced from the live model in real time, across every connected site.
Revenue capture
Billable events with a defensible record at the source — bedside intervention or remote consult, both ready for the claim line.
Historical record
The longitudinal EHR view — what happened, when, by whom, where — across the network.
Clinical AI · roadmap
Decision support and predictive surveillance running on data that's already in the shape AI needs — across the network.

The hospital network owns the model. Downstream systems are consumers of it — not owners of it. That separation is what keeps DocBox vendor-neutral and what keeps the data ready for the next clinical AI use that hasn't been built yet.


AI-ready healthcare infrastructure

What lets one record live
across an entire network.

The Clinician Assistant runs at the bedside. Virtual Care runs at the command center. Both are built on the same connected foundation — five architectural principles that determine how device data and documentation enter, relate, persist, and stay neutral across vendors and across sites.

01
Organized as it enters
Moment-of-capture, not after the fact
Foundation
Information is organized as it enters the system — not reconstructed later. Devices from any manufacturer are immediately comparable in the unified record, at every facility.
Captured at the sourceVendor-agnosticComparable across sites
Vendor neutral
02
Bidirectional flow
Closed loop from command center back to bedside
Connected layer
Documentation, validation, and clinical context flow continuously between bedside, command center, and EHR. The remote intensivist documents into the same record the bedside nurse reads — and vice versa.
Bedside ↔ command centerBidirectional documentationReal-time across the network
Closed loop
03
Application host
A workspace, not a display
Application layer
Both the bedside and the command center host the clinical applications and decision-support tools — not just a feed. Configurable per role, per unit, per specialty.
Single pane of glassDecision supportRole-configurable
Workspace
04
Vendor-neutral by design
No proprietary lock-in
Network layer
A standards-based backbone removes the proprietary hardware and worklist taxes embedded in traditional Virtual Care stacks. Each new site joins the same network without a new integration project.
Open standardsNo hardware taxHospital owns the data
Open standards
05
Virtual care, by design
Network-wide oversight, same foundation
Command layer
Shared data access enables network worklists, multi-site triage, and Virtual Care oversight from the same connected foundation — no separate stack to license, install, or train against. Scales with the network.
Virtual CareMulti-site surveillanceWorklist-based
Bedside → network

Where Virtual Care sits

Traditional Virtual Care stacks vs.
command center on a unified record.

Most existing Virtual Care offerings are layered on top of separate vendor stacks — proprietary hubs, isolated worklists, and reconciliation work between the command center and the bedside EHR. DocBox Virtual Care runs on the same unified clinical record and live patient model as the Clinician Assistant — so there's no parallel data world for the remote intensivist to maintain.

Traditional Virtual Care
(Philips eICU, Hicuity, etc.)
EHR-bolted remote view
(Epic, Cerner remote)
DocBox Virtual Care
Data source Separate stack — proprietary hub, isolated database Lagging EHR snapshots The same live patient model the bedside team uses
Worklist Vendor-locked, fixed views Designed for retrospective review, not live oversight Open-standards worklist — configurable by unit and specialty
Remote documentation Separate notes that need to reconcile back to the EHR later Limited or read-only remote access Bidirectional remote documentation — validated and unvalidated states preserved
Integration cost Significant — device interfaces, EHR bridges, training stack Adds latency and reconciliation overhead Already integrated — same foundation as the bedside product
Network expansion Each new site is a new integration project Inherits the EHR's site-by-site constraints Each new site joins the network through the same connected foundation

DocBox Virtual Care does not replace your monitors, your EHR, or the rest of your hospital infrastructure — it sits on the same unified record the Clinician Assistant uses at the bedside, and extends it to the command center.


Operational workflow transformation

The command center,
built on the same live patient model.

01
Command center

One worklist. Every patient. Every facility.

An open-standards worklist that puts every patient in the network on one screen — live vitals, location, acuity, active orders. Validated and unvalidated data states preserved side by side. Configurable by unit and specialty. The remote intensivist sees the same single pane of glass as the bedside team, with the same documentation power.

  • Multi-patient worklist with live vitals, location, and acuity across facilities
  • Validated and unvalidated data states preserved side by side
  • Configurable views by unit and specialty
  • Vendor-agnostic tele-consult — bidirectional audio/video, PTZ camera
  • PACS diagnostic image viewer accessible remotely
Virtual Care command view
Multi-patient list · 3 facilities · 24 patients
Main campus ICU · Bed 04
HR 68 · SpO₂ 99%
Community A · Bed 07
HR 112 · BP ↑
Main campus · Bed 11
Vent: 16 br/min
Rural site B · Bed 14
SpO₂ 91% ↓
Community A · Bed 19
Stable · 2h post-op
One intensivist. Three facilities. Full visibility for every patient.
02
Multi-site network

Network-effect critical care.

One Virtual Care hub can extend specialist coverage across an entire network — academic, community, and rural facilities simultaneously. The same live patient model that runs at the bedside is what the command center sees. Network expansion compounds: every new site adds data, analytic depth, and leverage on every existing intensivist.

  • Academic, community, and rural facilities on the same network
  • Specialist coverage extends without proportional headcount increase
  • India deployment includes Virtual Care extension to rural sites and AIIMS
  • Use and quality analytics for unit and network performance
  • Supports the operational picture value-based contracts depend on
Network coverage example
Network — 3 facilities
Main campus ICU · 12 beds
11 stable · 1 monitor
Community A · 8 beds
6 stable · 2 alert
Rural site B · 4 beds
4 stable
Active consult
Rural B · Bed 14 · SpO₂ 91%
Video live ●
One hub. Academic, community, rural — same record, same model, same foundation.
03
Transfer & continuity

The patient model travels with the patient.

When a patient moves between sites, the live patient model moves with them. Transfer-readiness, current device state, last assessment, active care plan — the receiving team sees the full model before the patient arrives. The handoff becomes a confirmation rather than a reconstruction. Communication failures during care transitions are associated with up to 80% of serious medical errors (The Joint Commission); the model-based handoff is built to remove that gap at the source.

  • Patient model travels with the patient across connected sites
  • Receiving team sees the full pre-transfer record before patient arrival
  • Bed-availability bottlenecks surface in the command center in real time
  • Triage, patient assignment, and handoff workflows built into the worklist
  • Defensible record at every handoff — for clinical defense and quality review

For the full scenario: the post-craniotomy transfer use case →

Patient model on the move
Patient · Neuro-ICU → Step-down
Current vitals
HR 78 · SpO₂ 96%
Ventilator state
AC · 16 · 480 · 5
Last neuro assessment
GCS 13T · 14:08
Active medications
3 infusions
Transfer-readiness
Ready · awaiting bed
The receiving team sees the full model before the patient arrives.
Looking for the bedside product?

The Clinician Assistant runs at the bedside.

Virtual Care lives in the command center. The Clinician Assistant lives in the room where the patient is — combining device data and clinical documentation into the unified record that Virtual Care then extends to remote intensivists. Either can be deployed first; both can be deployed together.

See the Clinician Assistant →

Already integrated

Connects to everything
your network already runs.

Virtual Care inherits every integration the Clinician Assistant has built over 18 years — bedside devices, hospital systems, downstream programs — and extends them across the network.

Bedside devices
Patient monitors Ventilators Infusion pumps ECMO CRRT IABP PTZ cameras
Hospital systems
Epic Cerner Meditech PACS imaging Lab systems ADT feeds
Network programs
Multi-site triage Transfer coordination Network quality reporting Value-based contracting Cross-site research

Security & data ownership

Enterprise-grade security.
Network-owned data.

Virtual Care runs across multiple facilities, often spanning regulatory environments. DocBox is built for that posture from the ground up — and built around the principle that the hospital network owns its data, not us.

HIPAA-aligned

Full HIPAA technical safeguards, audit logging, role-based access controls, and breach-notification posture — extended across the network.

Encryption everywhere

AES-256 at rest, TLS 1.2+ in transit. Bedside-to-command-center traffic is encrypted end-to-end across every connected site.

Multi-site deployment

On-premises, hospital-hosted cloud, or hybrid. Per-site policy supported. Each facility's data stays where its compliance posture requires.

Network
The hospital network owns the connected foundation, the unified record, and every byte captured — at every connected site.
  • DocBox cannot read, sell, or license the data — neither can any downstream system without network authorization
  • Data persists across platform changes — the foundation outlives any specific application or product version
  • Ready for the next clinical AI use case the network decides to build, without renegotiating data rights
  • Network-wide use and quality analytics — without exposing patient-level data outside the network
Request a demo

See Virtual Care in a 30-minute demo.

A live virtual walkthrough of Virtual Care built around your network — your facilities, your devices, your coverage model. No commitment.

Virtual. 30 minutes. Built around your setup.